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jaywalker-digital.ch
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ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
A vibrant and refreshing neovim colorscheme inspired by citrus fruits.
Tools to Design or Visualize Architecture of Neural Network
An extremely fast Python package and project manager, written in Rust.
Neovim plugin to improve the default vim.ui interfaces
A dark midnight theme for modern Neovim & classic Vim
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
If you're new to DDD and not sure where to start, this process will guide you step-by-step
Matplotlib styles for scientific plotting
AI driven development in your terminal. Designed for large, real-world tasks.
☁️ The Most Secure and Easy Selfhosted Home Server. Take control of your data and privacy without sacrificing security and stability (Authentication, anti-DDOS, anti-bot)
Get up and running with Llama 3.3, Mistral, Gemma 2, and other large language models.
Stable diffusion for real-time music generation
🤖💤 High-contrast, Futuristic & Vibrant Coloursheme for Neovim
🚀 🦆 An intergalactic space theme for Vim, Terminal, and more!
A Vector Quantized Masked AutoEncoder for speech emotion recognition
A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch
Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)
A simple transformer implementation without difficult syntax and extra bells and whistles.
bert nlp papers, applications and github resources, including the newst xlnet , BERT、XLNet 相关论文和 github 项目
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Google AI 2018 BERT pytorch implementation
A Faster Pytorch Implementation of Multi-Head Self-Attention